SONG Shuting, TANG Zhen, WANG Wei, et al. Multi-source Frequency Modulation Strategies Based on Stackelberg Game and Deep Adaptive Dynamic Programming[J]. 2025, 42(5): 947-955.
DOI:
SONG Shuting, TANG Zhen, WANG Wei, et al. Multi-source Frequency Modulation Strategies Based on Stackelberg Game and Deep Adaptive Dynamic Programming[J]. 2025, 42(5): 947-955. DOI: 10.19725/j.cnki.1007-2322.2023.0348.
Multi-source Frequency Modulation Strategies Based on Stackelberg Game and Deep Adaptive Dynamic Programming
摘要
为了解决新能源高渗透率下电网频率波动较大的问题,提出一种用于智能发电控制的博弈深度自适应动态规划(Stackelberg deep adaptive dynamic programming,SDADP)的多源调频协调策略。首先,采用自适应动态规划模型的3个深度神经网络结构,学习电网历史数据特征,顺序进行预测、评价、执行动作,预测总调频功率指令,以减小多源系统的区域控制误差。然后,基于主从博弈,合理调度风光水火储调频源的功率,提高调频收益。最后,通过仿真验证所提多源调频博弈策略的协调优化结果。结果表明,所提SDADP多源调频博弈协调策略可降低多源系统频率偏差,并提高调频整体经济收益。
Abstract
To address the issue of large frequency fluctuation in high penetration grid
a multi-source frequency regulation strategy of Stackelberg deep adaptive dynamic programming (SDADP) is proposed for smart generation control. Firstly
three deep neural network structures of the adaptive dynamic programming model are employed to acquire the characteristics from the historical data of the power grid and sequentially perform the prediction
evaluation
and execution actions for predicting the total frequency regulation power command
so as to minimize regional control error in a multi-source system. Based on the Stackelberg game
the power from wind
solar
hydropower
fire
and storage sources is subsequently reasonably scheduled to enhance the frequency regulation gain. Finally
the coordination optimization results of the proposed multi-source frequency regulation game strategy are verified through simulation analysis. The proposed SDADP multisource frequency regulation game strategy can mitigate the frequency deviation in the multisource system and improve the overall economic gain of frequency regulation.
关键词
Keywords
references
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